Rita Faia Marques

ORCID: 0000-0002-9650-4718
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About
Contact & Profiles
Research Areas
  • Tactile and Sensory Interactions
  • Explainable Artificial Intelligence (XAI)
  • Artificial Intelligence in Healthcare and Education
  • Video Surveillance and Tracking Methods
  • Digital Mental Health Interventions
  • EEG and Brain-Computer Interfaces
  • Mental Health Research Topics
  • Persona Design and Applications
  • Sharing Economy and Platforms
  • Ethics and Social Impacts of AI
  • Autism Spectrum Disorder Research
  • Assistive Technology in Communication and Mobility
  • Human Pose and Action Recognition
  • Virtual Reality Applications and Impacts
  • Interactive and Immersive Displays
  • Innovative Human-Technology Interaction
  • Mental Health via Writing

Microsoft Research (United Kingdom)
2020-2024

Recent advances in AI and machine learning (ML) promise significant transformations the future delivery of healthcare. Despite a surge research development, few works have moved beyond demonstrations technical feasibility algorithmic performance. However, to realize many ambitious visions for how can contribute clinical impact requires closer design study tools or interventions within specific health care contexts. This article outlines our collaborative, human-centered approach developing...

10.1145/3564752 article EN ACM Transactions on Computer-Human Interaction 2022-10-07

AI technologies are often used to aid people in performing discrete tasks with well-defined goals (e.g., recognising faces images). Emerging that provide continuous, real-time information enable more open-ended experiences. In partnership a blind child, we explore the challenges and opportunities of designing human-AI interaction for system intended support social sensemaking. Adopting research-through-design perspective, reflect upon working uncertain capabilities systems design this...

10.1145/3411764.3445290 article EN 2021-05-06

The opportunity for artificial intelligence, or AI, to enable accessibility is rapidly growing, but widely impactful applications can be challenging build given the diversity of user need within and across disability communities. Teachable AI systems give users with disabilities a way leverage power personalize their own specific needs, as long effort providing examples balanced benefit personalization received. As an example, this paper presents design evaluation Find My Things, end-to-end...

10.1145/3597638.3608395 article EN 2023-10-19

We introduce an advanced computer vision-based AI system that offers people with vision impairments (VI) dynamic, in-situ access to information about the location, identity and gaze-direction of other nearby. Our utilizes camera technology a head-worn HoloLens device, which captures near 180° field-of-view surrounding person who is wearing it. Captured images are then processed by multiple state-of-the-art perception algorithms whose outputs integrated into real-time tracking model all...

10.1145/3334480.3383142 article EN 2020-04-25

Novel AI-infused educational technologies can give children with blindness the opportunity to explore concepts learned incidentally through vision by using alternative perceptual modalities. However, more effort is needed support meaningful use of such technological innovations for evaluations at scale and later wide-spread adoption. This paper presents development pilot evaluation a curriculum enable educators blind learners' self-exploration social attention PeopleLens technology. We...

10.1145/3441852.3471210 article EN 2021-10-17

Three-dimensional virtual environments are currently inaccessible to people who blind, as current screen-reading solutions for 2D content not fully extensible achieve the needed embodied spatial presence. Forefronting perceptual agency key any access approach users we offer Scene Weaving an interactional metaphor that allows choose how and when they perceive environment in it. We illustrate this can be implemented example prototype system. In interactivity, control a museum within it through...

10.1145/3544549.3583909 article EN 2023-04-19

opinion PeopleLens Share on Authors: Cecily Morrison Microsoft Research ResearchView Profile , Ed Cutrell Martin Grayson Geert Roumen Rita Faia Marques Anja Thieme Alex Taylor City, University of London LondonView Abigail Sellen Authors Info & Claims InteractionsVolume 28Issue 3May - June 2021 pp 10–13https://doi.org/10.1145/3460116Online:27 April 2021Publication History 0citation473DownloadsMetricsTotal Citations0Total Downloads473Last 12 Months473Last 6 weeks27 Get Citation AlertsNew Alert...

10.1145/3460116 article EN interactions 2021-04-27

The opportunity for artificial intelligence, or AI, to enable accessibility is rapidly growing, but widely impactful applications can be challenging build given the diversity of user need within and across disability communities. Teachable AI systems give users with disabilities a way leverage power personalize their own specific needs. We demonstrate Find My Things as an end-to-end example applying address An application that taught by people who are blind low vision find personal things,...

10.1145/3613905.3648641 article EN 2024-05-11
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